Marco Andreani
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Hematology 144
- Hematopoietic Stem Cell Transplantation 142
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- Renal Transplantation Outcomes and Treatments 93
- Co-authors
- Giuseppe Tiziano Lucarelli (29 shared papers)Emanuele Angelucci (9 shared papers)Guido Lucarelli (24 shared papers)S Nesci (14 shared papers)Javid Gaziev (28 shared papers)Pietro Sodani (24 shared papers)Fabrizio Agostinelli (11 shared papers)MARIA GALIMBERTI (8 shared papers)
- Journals
- Blood (20 papers)Bone Marrow Transplantation (10 papers)Transplantation and Cellular Therapy (5 papers)Human Immunology (3 papers)Haematologica (3 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Marco Andreani
217 papers receiving 4.6k citations
Marco Andreani's Hit Papers
Peers
Comparison fields: 5 of 87
- Hematology 2.4k
- Transplantation 464
- Genetics 956
- Immunology 893
- Genetics 859
Countries citing papers authored by Marco Andreani
This map shows the geographic impact of Marco Andreani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco Andreani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Andreani more than expected).
Fields of papers citing papers by Marco Andreani
This network shows the impact of papers produced by Marco Andreani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco Andreani. The network helps show where Marco Andreani may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Andreani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells Hit paper breakdown → | 2013 | 680 |
| 2 | 2012 | 188 | |
| 3 | 1993 | 186 | |
| 4 | 1996 | 171 | |
| 5 | 2000 | 163 | |
| 6 | 2004 | 160 | |
| 7 | 2019 | 154 | |
| 8 | 1996 | 145 | |
| 9 | 2002 | 144 | |
| 10 | 1999 | 140 | |
| 11 | 2011 | 127 | |
| 12 | 2020 | 125 | |
| 13 | 2000 | 107 | |
| 14 | 2010 | 88 | |
| 15 | 2010 | 88 | |
| 16 | 2019 | 80 | |
| 17 | 2018 | 78 | |
| 18 | 2005 | 77 | |
| 19 | 2012 | 77 | |
| 20 | 2009 | 76 |
About Marco Andreani
Marco Andreani is a scholar working on Hematology, Transplantation, Genetics, Genetics and Immunology, having authored 237 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (142 papers), Genetic Associations and Epidemiology (122 papers), Renal Transplantation Outcomes and Treatments (93 papers), Hemoglobinopathies and Related Disorders (19 papers), vaccines and immunoinformatics approaches (16 papers), Forensic and Genetic Research (10 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Hematology (2.4k citations), Transplantation (464 citations), Genetics (956 citations), Immunology (893 citations) and Genetics (859 citations). Marco Andreani has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giuseppe Tiziano Lucarelli, Emanuele Angelucci, Guido Lucarelli, S Nesci, Javid Gaziev, Pietro Sodani, Fabrizio Agostinelli, MARIA GALIMBERTI, Claudio Giardini and Rosa Bacchetta. Their work appears in journals such as Blood, Bone Marrow Transplantation, Transplantation and Cellular Therapy, Human Immunology and Haematologica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.